RainbowSoft
Service

AI / LLM Integration

Add GPT-class intelligence to the product you already have: assistants, semantic search, summarization and automated workflows.

All services

We bring LLMs into existing products in ways that are useful, measurable and safe. That means grounded answers from your own data, sensible cost controls, and fallbacks when the model is unsure.

Who it's for
  • SaaS products adding an AI assistant or copilot
  • Support teams that want to automate repetitive tickets
  • Businesses sitting on documents, CRM data or knowledge bases
What you get
  • Use-case discovery and ROI assessment
  • RAG pipelines over your documents and databases
  • Chatbots and in-app assistants with your brand voice
  • Speech-to-text and voice features with Whisper
  • Evaluation, monitoring and cost optimization
Typical stack
OpenAI APILangChainRAGWhisperPostgreSQLRedis
The outcome

AI features your users actually rely on, at costs that make sense.

How it works

From first call to launch, and beyond

  1. 01

    Discovery

    We dig into your goals, users and constraints, then turn them into a prioritized scope, timeline and budget.

  2. 02

    Design

    We map user flows and build clickable Figma designs, so you see and test the product before we write code.

  3. 03

    Build

    We work in short, transparent sprints with weekly demos, so you always know what shipped and what's next.

  4. 04

    Launch

    We handle QA, deployment, app-store releases, monitoring and analytics, and launch day goes smoothly.

  5. 05

    Support

    After launch we keep improving: fixes, new features, scaling and performance tuning as you grow.

Ready to talk about AI / LLM Integration?

Tell us what you're working on. You'll hear back from a senior engineer, not a salesperson.